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Modelling the Dynamics of a Smart Factory

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Abstract

“Digital twining” is one the main ways of establishing data channels in cyber-physical systems combining the outputs of a virtual model with real time data collected by sensors. The purpose to this chapter is to outline the digital twin of a cyber-physical production system. The System Dynamics paradigm to the case of a shop-floor factory devoted to cloud manufacturing is applied. The digital twin uses data from the real production line, providing assistance to maintenance procedures triggered by inconsistencies between the real and the virtual processes.

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Authors and Affiliations

  1. Dpto. de Ciencias de la Administración, Universidad Nacional del Sur, Bahía Blanca, Argentina

    Marisa Analía Sánchez

  2. Dpto. de Ingeniería, Universidad Nacional del Sur, INMABB-UNS-CONICET, Bahía Blanca, Argentina

    Daniel Rossit

  3. Dpto. de Economía, Universidad Nacional del Sur, INMABB-UNS-CONICET, Bahía Blanca, Argentina

    Fernando Tohmé

Authors
  1. Marisa Analía Sánchez
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  2. Daniel Rossit
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  3. Fernando Tohmé
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Corresponding author

Correspondence to Daniel Rossit .

Editor information

Editors and Affiliations

  1. Department of Chemistry and Environmental Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ, USA

    Chaudhery Mustansar Hussain

  2. University of Padova, Padova, Italy

    Paolo Di Sia

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Sánchez, M.A., Rossit, D., Tohmé, F. (2021). Modelling the Dynamics of a Smart Factory. In: Hussain, C.M., Di Sia, P. (eds) Handbook of Smart Materials, Technologies, and Devices. Springer, Cham. https://doi.org/10.1007/978-3-030-58675-1_66-1

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  • DOI: https://doi.org/10.1007/978-3-030-58675-1_66-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58675-1

  • Online ISBN: 978-3-030-58675-1

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